Genetic Programming Bibliography entries for Michael Affenzeller

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GP coauthors/coeditors: Stefan Wagner, Stephan M Winkler, Andreas Beham, C Fischer, Gabriel Kronberger, Stefan Forstenlechner, Michael Kommenda, Herbert Stekel, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Koenigswieser, Julia Vetter, Dirk V Arnold, Mengjie Zhang, Ryan J Urbanowicz, Muhammad Iqbal, Kamran Shafi, Forrest Stonedahl, William Michael Rand, Tea Tusar, Boris Naujoks, David Walker, Richard Everson, Jonathan E Fieldsend, Zhun Fan, Yaochu Jin, Hod Lipson, Erik Goodman, Alexandru-Adrian Tantar, Emilia Tantar, Peter A N Bosman, Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna Esparcia-Alcazar, Frank William Moore, Jaume Bacardit, Ignacio Arnaldo Lucas, Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L Smith, Stefano Cagnoni, Robert M Patton, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, John R Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons, John A Clark, Dirk Sudholt, Aniko Ekart, Carola Doerr, Anne Auger, Erik Pitzer, Christian Blum, Enrique Alba, Thomas Bartz-Beielstein, Daniele Loiacono, Francisco Luna Valero, Jorn Mehnen, Mike Preuss, Leonardo Vanneschi, Emma Hart, Bernd Bischl, Dimo Brockhoff, Nikolaus Hansen, Olaf Mersmann, Petr Posik, Heike Trautmann, Gisele L Pappa, Miguel Vega-Rodriguez, Jose M Chaves-Gonzalez, David L Gonzalez-Alvarez, Sergio Santander-Jimenez, Lee Spector, Maarten Keijzer, Kenneth L Holladay, Gerd Bramerdorfer, Guenther Weidenholzer, Siegfried Silber, Wolfgang Amrhein, Lukas Kammerer, Kaifeng Yang, Luigi del Re, Peter Langthaler, Christian Furtmueller, Philipp Fleck, Sara Silva, Bernhard Werth, Christian Haider, Fabricio Olivetti de Franca, Florian Bachinger, Stephan Hutterer, Stefan Vonolfen, F Auinger, Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stoeger, Bernd Hofer, Monika Kofler, Leonhard Schickmair, Benjamin Lindner, Christoph Feilmayr, Reinhard Holecek, Andreas Gebeshuber, Johannes Karder, Oliver Krauss, Hanspeter Moessenboeck, Thomas Burgler, Stefan Fink, Andreas Scheibenpflug, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Christoph Neumueller, Du Nguyen Duy, Ramin Nikzad-Langerodi, Anabela Simoes, William B Langdon, David Robert White, Justyna Petke, Nur Zincir-Heywood, Jose Santos Reyes, Julia Handl, Amarda Shehu, Karthik Kuber, Masaya Nakata, Daniel R Tauritz, Manuel Lopez-Ibanez, Youhei Akimoto, Abraham Prieto, Nicolas Bredeche, Evert Haasdijk, James Smith, Colin G Johnson, Alberto Moraglio, Michael O'Neill, Markus Wagner, Maxim Buzdalov, Dejan Tusar, Tobias Wagner, Erik Hemberg, Nicole Hoffman, Stephane Doncieux, Joshua E Auerbach, Richard Duro, Harold de Vladar, Vanessa Volz, Samadhi Nallaperuma, Frank Moore, Gunes Kayacik, Westley Weimer, Silvino Fernandez Alzueta Arcelor, Pablo Valledor, Thomas Stuetzle, Kuber Karthik, Shafi Kamran, Giovanni Squillero, Alberto Tonda, John A W McCall, Christine Zarges, Alma Rahat, Handing Wang, Aleksandra Petrakova, Galina Merkurjeva, David Piringer, Armin Fohler, Helga Heiss, Markus Vorderwinkler, Nikhil Padhye, Aaron Baughman, Stefan Van Der Stock, Michael Perlitz, Jonathan Jesneck, Matthew R Hyde, Alexandre Chotard, Verena Heidrich-Meisner, Rick L Riolo, Jean-Baptiste Mouret, Albert Orriols-Puig, Francisco Fernandez de Vega, Carlos Cotta, Sherri Goings, Alison A Motsinger, Katya Rodriguez-Vazquez, Jason H Moore, Mariia Semenkina, Danilo Vasconcellos Vargas, Silvino Fernandez Alzueta, Pablo Valledor Pellicer, Mostafa M Hashim Ellabaan, Frank Neumann, Paul Kaufmann, Oliver Kramer, P G M Baltus, Giovanni Iacca, M N Andraud, Nadarajen Veerapen, Fabio Daolio, Arnaud Liefooghe, Sebastien Verel, Dirk Thierens, William La Cava, Randal Olson, Patryk Orzechowski, Ernesto Tarantino, Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Heiko Hamann, Jared Moore, Anthony Clark, Bogdan Filipic, Hajrudin Efendic, Markus Hirsch, Witold Jacak, Susanne Schaller, Ciprian Zavoianu, Daniela Zaharie, Jan Zenisek, Josef Wolfartsberger, Mathias Silmbroth, Christoph Sievi, Aziz Huskic, Herbert Jodlbauer, L Nicoletti, F Longo, G Traugott, A Padovano,

Genetic Programming Articles by Michael Affenzeller

  1. Philipp Fleck and Bernhard Werth and Michael Affenzeller. Population Dynamics in Genetic Programming for Dynamic Symbolic Regression. Applied Sciences, 14(2):Article No. 596, 2024. details

  2. Kaifeng Yang and Michael Affenzeller. Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging. Procedia Computer Science, 200:954-961, 2022. 3rd International Conference on Industry 4.0 and Smart Manufacturing. details

  3. Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Bernd Hofer and Michael Affenzeller and Stephan Winkler. Simulation-Based Optimization of Residential Energy Flows Using White Box Modeling by Genetic Programming. Energy and Buildings, 258:111829, 2022. details

  4. Michael Kommenda and Bogdan Burlacu and Gabriel Kronberger and Michael Affenzeller. Parameter identification for symbolic regression using nonlinear least squares. Genetic Programming and Evolvable Machines, 21(3):471-501, 2020. Special Issue on Integrating numerical optimization methods with genetic programming. details

  5. Gabriel Kronberger and Michael Kommenda and Edwin Lughofer and Susanne Saminger-Platz and Andreas Promberger and Falk Nickel and Stephan Winkler and Michael Affenzeller. Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Applied Soft Computing, 69:610-624, 2018. details

  6. Aleksandra Petrakova and Michael Affenzeller and Galina Merkuryeva. Heterogeneous versus Homogeneous Machine Learning Ensembles. Information Technology and Management Science, 18(1):135-140, 2015. details

  7. Gerd Bramerdorfer and Stephan M. Winkler and Michael Kommenda and Guenther Weidenholzer and Siegfried Silber and Gabriel Kronberger and Michael Affenzeller and Wolfgang Amrhein. Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. IEEE Transactions on Industrial Electronics, 61(11):6454-6462, 2014. details

  8. Stephan M. Winkler and Gabriel K. Kronberger and Michael Affenzeller and Herbert Stekel. Variable Interaction Networks in Medical Data. International Journal of Privacy and Health Information Management (IJPHIM), 1(2):1-16, 2014. details

  9. Stephan M. Winkler and Michael Affenzeller and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Viktoria Dorfer and Witold Jacak and Herbert Stekel. On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. International Journal of Simulation and Process Modelling, 8(1):29-41, 2013. details

  10. S. Hutterer and M. Affenzeller. Probabilistic Electric Vehicle Charging Optimized With Genetic Algorithms and a Two- Stage Sampling Scheme. International Journal of Energy Optimization and Engineering (IJEOE), 2(3):1-15, 2013. details

  11. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. On the Use of Estimated Tumor Marker Classifications in Tumor Diagnosis Prediction - A Case Study for Breast Cancer. International Journal of Simulation and Process Modelling, 2011. details

  12. Michael Affenzeller and Stefan Wagner and Stephan M. Winkler. Effective allele preservation by offspring selection: an empirical study for the TSP. International Journal of Simulation and Process Modelling, 6(1):29-39, 2010. details

  13. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis. Genetic Programming and Evolvable Machines, 10(2):111-140, 2009. details

  14. S. M. Winkler and M. Affenzeller and S. Wagner. On the Reliability of Nonlinear Modeling Using Enhanced Genetic Programming Techniques. Topics on Chaotic Systems - Selected Papers from CHAOS 2008 International Conference, 1(1):24-31, 2009. details

  15. Stephan Winkler and Hajrudin Efendic and Luigi Del Re and Michael Affenzeller and Stefan Wagner. Online modelling based on Genetic Programming. International Journal of Intelligent Systems Technologies and Applications, 2(2/3):255-270, 2007. details

  16. Bogdan Burlacu and Kaifeng Yang and Michael Affenzeller. Population diversity and inheritance in genetic programming for symbolic regression. Natural Computing. details

Genetic Programming Books by Michael Affenzeller

Genetic Programming Conference proceedings edited by Michael Affenzeller

  1. Markus Wagner and Julia Handl and Ryan Urbanowicz and Kuber Karthik and Danilo Vasconcellos Vargas and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and John R. Woodward and Daniel R. Tauritz and Manuel Lopez-Ibanez and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Dejan Tusar and Stephane Doncieux and Joshua Auerbach and Richard Duro and Harold de Vladar and Jose Santos and Amarda Shehu and Mostafa Ellabaan and Stefan Wagner and Michael Affenzeller and Frank Neumann and Markus Wagner and Paul Kaufmann and Oliver Kramer and P. G. M. Baltus and Giovanni Iacca and M. N. Andraud and Vanessa Volz and Boris Naujoks and Frank Moore and Gunes Kayacik and Nur Zincir-Heywood and Anna I Esparcia-Alcazar and Westley Weimer and Justyna Petke and David R. White and William B. Langdon and Nadarajen Veerapen and Fabio Daolio and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Giovanni Squillero and Alberto Tonda and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and John McCall and Dirk Thierens and William La Cava and Randal Olson and Patryk Orzechowski and Ernesto Tarantino and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Nicolas Bredeche and Evert Haasdijk and Abraham Prieto and Heiko Hamann and Jared Moore and Anthony Clark and David Walker and Richard Everson and Jonathan Fieldsend and Bogdan Filipic and Alma Rahat and Handing Wang and Yaochu Jin editors, GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Berlin, Germany, ACM, 2017. details

  2. Gisele Pappa and Markus Wagner and John R. Woodward and Daniel R. Tauritz and Manuel Lopez-Ibanez and Maxim Buzdalov and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Dejan Tusar and Tobias Wagner and Una-May O'Reilly and Erik Hemberg and Nicole Hoffman and Stephane Doncieux and Joshua Auerbach and Richard Duro and Harold de Vladar and Jose Santos and Julia Handl and Amarda Shehu and Stefan Wagner and Michael Affenzeller and Vanessa Volz and Samadhi Nallaperuma and Frank Moore and Gunes Kayacik and Westley Weimer and Justyna Petke and David R. White and Silvino Fernandez Alzueta Arcelor and Pablo Valledor and Thomas Stuetzle and Kuber Karthik and Masaya Nakata and Shafi Kamran and Giovanni Squillero and Alberto Tonda and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Peter A. N. Bosman and John McCall and David Walker and Richard Everson and Jonathan Fieldsend and Carola Doerr and Julia Handl and Emma Hart and Gabriela Ochoa and Amarda Shehu and Tea Tusar and Christine Zarges and Nur Zincir-Heywood and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin editors, GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Denver, Colorado, USA, ACM, 2016. details

  3. Gisele Pappa and Anabela Simoes and Dirk Sudholt and W. B. Langdon and David R. White and Justyna Petke and Frank W. Moore and Nur Zincir-Heywood and Jose Santos and Julia Handl and Amarda Shehu and David Walker and Richard Everson and Jonathan Fieldsend and Karthik Kuber and Masaya Nakata and Kamran Shafi and John Woodward and Daniel Tauritz and Manuel Lopez-Ibanez and Stefan Wagner and Michael Affenzeller and Youhei Akimoto and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Boris Naujoks and Abraham Prieto and Nicolas Bredeche and Evert Haasdijk and Chris Simons and Jerry Swan and Krzysztof Krawiec and Jim Smith and Colin Johnson and Alberto Moraglio and Michael O'Neill and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. Madrid, Spain, 2015. details

  4. Dirk Arnold and Mengjie Zhang and Ryan Urbanowicz and Muhammad Iqbal and Kamran Shafi and Forrest Stonedahl and William Rand and Tea Tusar and Boris Naujoks and David Walker and Richard Everson and Jonathan Fieldsend and Stefan Wagner and Michael Affenzeller and Zhun Fan and Yaochu Jin and Hod Lipson and Erik Goodman and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Kent McClymont and Kevin Sim and Gabriela Ochoa and Ed Keedwell and Anna I Esparcia-Alcazar and Frank W. Moore and Jaume Bacardit and Ignacio Arnaldo and Kalyan Veeramachaneni and Una-May O'Reilly and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Steven Gustafson and Ekaterina Vladislavleva and John Woodward and Jerry Swan and Earl Barr and Krzysztof Krawiec and Chris Simons and John Clark and Dirk Sudholt and Anna Esparcia and Aniko Ekart and Carola Doerr and Anne Auger editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. Vancouver, BC, Canada, 2014. details

  5. Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. Amsterdam, The Netherlands, 2013. details

  6. Bill Rand and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Nikhil Padhye and Aaron Baughman and Stefan Van Der Stock and Michael Perlitz and Steven M. Gustafson and Jonathan Jesneck and Gisele L. Pappa and John Woodward and Matthew R. Hyde and Jerry Swan and Stefan Wagner and Michael Affenzeller and Anne Auger and Alexandre Chotard and Nikolaus Hansen and Verena Heidrich-Meisner and Olaf Mersmann and Petr Posik and Mike Preuss and Forrest Stonedahl and Rick Riolo and Stephane Doncieux and Yaochu Jin and Jean-Baptiste Mouret and Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz and Kent McClymont and Ed Keedwell and Richard Everson and Jonathan Fieldsend and David Walker and F. Fernandez de Vega and Carlos Cotta and Steven Gustafson and Ekaterina Vladislavleva and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Sherri Goings and Alison Motsinger-Reif and Katya Rodriguez and Christian Blum and Gabriela Ochoa and Jason H. Moore editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion. Philadelphia, Pennsylvania, USA, 2012. details

Genetic Programming conference papers by Michael Affenzeller

  1. Kaifeng Yang and Michael Affenzeller. Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. In Evolutionary Multi-Criterion Optimization, 2023. Springer. details

  2. Du Nguyen Duy and Michael Affenzeller and Ramin Nikzad-Langerodi. Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. In Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Symbolic Regression, pages 2420-2428, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Philipp Fleck and Stephan Winkler and Michael Kommenda and Sara Silva and Leonardo Vanneschi and Michael Affenzeller. Evolutionary Algorithms for Segment Optimization in Vectorial GP. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 439-442, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Christian Haider and Fabricio Olivetti de Franca and Bogdan Burlacu and Florian Bachinger and Gabriel Kronberger and Michael Affenzeller. Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 225-240, Michigan State University, USA, 2023. Springer. details

  5. Michael Affenzeller. GP in Prescriptive Analytics. In Ting Hu and Charles Ofria and Leonardo Trujillo and Stephan Winkler editors, Genetic Programming Theory and Practice XX, Michigan State University, USA, 2023. details

  6. David Piringer and Stefan Wagner and Christian Haider and Armin Fohler and Siegfried Silber and Michael Affenzeller. Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022, volume 13789, pages 155-163, Las Palmas de Gran Canaria, Spain, 2022. Springer. Revised Selected Papers. details

  7. Bogdan Burlacu and Michael Kommenda and Gabriel Kronberger and Stephan M. Winkler and Michael Affenzeller. Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. In Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX, pages 1-30, Ann Arbor, USA, 2022. Springer. details

  8. Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Bernd Hofer and Michael Affenzeller and Stephan Winkler. Multi Tree Operators for Genetic Programming to Identify Optimal Energy Flow Controllers. In Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor editors, 6th Workshop on Industrial Applications of Metaheuristics, pages 1579-1586, internet, 2021. Association for Computing Machinery. details

  9. Philipp Fleck and Stephan Winkler and Michael Kommenda and Michael Affenzeller. Grammar-based Vectorial Genetic Programming for Symbolic Regression. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 21-43, East Lansing, USA, 2021. Springer. details

  10. Oliver Krauss and Hanspeter Moessenboeck and Michael Affenzeller. Towards Knowledge Guided Genetic Improvement. In Shin Yoo and Justyna Petke and Westley Weimer and Bobby R. Bruce editors, GI @ ICSE 2020, pages 293-294, internet, 2020. ACM. details

  11. Mariia Semenkina and Bogdan Burlacu and Michael Affenzeller. Genetic Programming Based Evolvement of Models of Models. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, International Conference on Computer Aided Systems Theory, EUROCAST 2019, volume 12013, pages 387-395, Las Palmas de Gran Canaria, Spain, 2019. Springer. details

  12. Oliver Krauss and Hanspeter Moessenboeck and Michael Affenzeller. Mining Patterns from Genetic Improvement Experiments. In Justyna Petke and Shin Hwei Tan and William B. Langdon and Westley Weimer editors, GI-2019, ICSE workshops proceedings, pages 28-29, Montreal, 2019. IEEE. details

  13. Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Michael Affenzeller and Stephan Winkler and Stefan Wagner and Bernd Hofer. A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, International Conference on Computer Aided Systems Theory, EUROCAST 2019, volume 12013, pages 405-412, Las Palmas de Gran Canaria, Spain, 2019. Springer. details

  14. Lukas Kammerer and Gabriel Kronberger and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Michael Affenzeller. Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 79-99, East Lansing, MI, USA, 2019. Springer. details

  15. Michael Affenzeller and Bogdan Burlacu and Viktoria Dorfer and Sebastian Dorl and Gerhard Halmerbauer and Tilman Koenigswieser and Michael Kommenda and Julia Vetter and Stephan M. Winkler. White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 17th International Conference, Computer Aided Systems Theory - EUROCAST 2019, volume 12013, pages 288-295, Las Palmas de Gran Canaria, Spain, 2019. Springer. Revised Selected Papers, Part I. details

  16. Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Michael Affenzeller. Parsimony measures in multi-objective genetic programming for symbolic regression. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 338-339, Prague, Czech Republic, 2019. ACM. details

  17. Bogdan Burlacu and Lukas Kammerer and Michael Affenzeller and Gabriel Kronberger. Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, International Conference on Computer Aided Systems Theory, EUROCAST 2019, volume 12013, pages 361-369, Las Palmas de Gran Canaria, Spain, 2019. Springer. details

  18. B. Burlacu and M. Affenzeller and G. Kronberger and M. Kommenda. Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. In 2019 IEEE Congress on Evolutionary Computation (CEC), pages 2175-2182, 2019. details

  19. Gabriel Kronberger and Lukas Kammerer and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Michael Affenzeller. Cluster Analysis of a Symbolic Regression Search Space. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 85-102, Ann Arbor, USA, 2018. Springer. details

  20. Oliver Krauss and Hanspeter Moessenboeck and Michael Affenzeller. Dynamic Fitness Functions for Genetic Improvement in Compilers and Interpreters. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo editors, 5th edition of GI @ GECCO 2018, pages 1590-1597, Kyoto, Japan, 2018. ACM. details

  21. Bogdan Burlacu and Michael Affenzeller. Schema-based diversification in genetic programming. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1111-1118, Kyoto, Japan, 2018. ACM. details

  22. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Gabriel Kronberger and Stephan Winkler. Schema Analysis in Tree-Based Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 17-37, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  23. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Gabriel Kronberger and Stephan M. Winkler. Analysis of Schema Frequencies in Genetic Programming. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Part I, volume 10671, pages 432-438, Las Palmas de Gran Canaria, Spain, 2017. Springer. Revised Selected Papers. details

  24. Michael Affenzeller and Stephan M. Winkler and Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Stefan Wagner. Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP Variants. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1553-1558, Berlin, Germany, 2017. ACM. details

  25. Jan Zenisek and Michael Affenzeller and Josef Wolfartsberger and Mathias Silmbroth and Christoph Sievi and Aziz Huskic and Herbert Jodlbauer. Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 481-488, Las Palmas de Gran Canaria, Spain, 2017. Springer. details

  26. Bernhard Werth and Erik Pitzer and Michael Affenzeller. A Fair Performance Comparison of Different Surrogate Optimization Strategies. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 408-415, Las Palmas de Gran Canaria, Spain, 2017. Springer. details

  27. Stefan Wagner and Andreas Beham and Michael Affenzeller. Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 439-446, Las Palmas de Gran Canaria, Spain, 2017. Springer. details

  28. Gabriel K. Kronberger and Bogdan Burlacu and Michael Kommenda and Stephan Winkler and Michael Affenzeller. Measures for the Evaluation and Comparison of Graphical Model Structures. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 283-290, Las Palmas de Gran Canaria, Spain, 2017. details

  29. Michael Kommenda and Johannes Karder and Andreas Beham and Bogdan Burlacu and Gabriel K. Kronberger and Stefan Wagner and Michael Affenzeller. Optimization Networks for Integrated Machine Learning. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 392-399, Las Palmas de Gran Canaria, Spain, 2017. details

  30. Michael Affenzeller and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Gabriel K. Kronberger and Stefan Wagner. Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 424-431, Las Palmas de Gran Canaria, Spain, 2017. Springer. details

  31. J. Zenisek and M. Affenzeller and C. Sievi and M. Silmbroth and J. Wolfartsberger. Predictive Maintenance for Transport Systems - Employing Model Ensembles for Online State Detection. In Proceedings of the IAUP Triennial Conference, page 2, Wien, Austria, 2017. details

  32. J. Zenisek and L. Nicoletti and F. Longo and G. Traugott and A. Padovano and M. Affenzeller. Smart Maintenance Lifecycle Management: A Design Proposal. In Proceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain, pages 546-551, Barcelona, Spain, 2017. details

  33. Stephan M. Winkler and Michael Affenzeller and Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Philipp Fleck. Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 1-17, Ann Arbor, USA, 2016. Springer. details

  34. Andreas Beham and Stefan Wagner and Michael Affenzeller. Optimization Knowledge Center: A Decision Support System for Heuristic Optimization. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, pages 1331-1338, New York, NY, USA, 2016. ACM. details

  35. Michael Kommenda and Gabriel Kronberger and Michael Affenzeller and Stephan Winkler and Bogdan Burlacu. Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 1-19, Ann Arbor, USA, 2015. Springer. details

  36. Gabriel Kronberger and Michael Kommenda and Stephan M. Winkler and Michael Affenzeller. Using Contextual Information in Sequential Search for Grammatical Optimization Problems. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 15th International Conference Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 417-424, Las Palmas de Gran Canaria, Spain, 2015. Springer. Revised Selected Papers. details

  37. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda. On the Effectiveness of Genetic Operations in Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 15th International Conference Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 367-374, Las Palmas de Gran Canaria, Spain, 2015. Springer. Revised Selected Papers. details

  38. Bogdan Burlacu and Michael Kommenda and Michael Affenzeller. Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming. In 2015 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), pages 152-157, 2015. details

  39. Stephan M. Winkler and Gabriel K. Kronberger and Michael Kommenda and Stefan Fink and Michael Affenzeller. Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 326-333, Las Palmas, Gran Canaria, Spain, 2015. Springer. details

  40. Michael Kommenda and Bogdan Burlacu and Reinhard Holecek and Andreas Gebeshuber and Michael Affenzeller. Heat Treatment Process Parameter Estimation using Heuristic Optimization Algorithms. In Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, pages 222-228, Bergeggi, Italy, 2015. details

  41. Stefan Wagner and Michael Affenzeller and Andreas Scheibenpflug. Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 433-438, Las Palmas, Gran Canaria, Spain, 2015. Springer. details

  42. Michael Kommenda and Andreas Beham and Michael Affenzeller and Gabriel K. Kronberger. Complexity Measures for Multi-Objective Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 409-416, Las Palmas, Gran Canaria, Spain, 2015. Springer. details

  43. Stephan M. Winkler and Michael Affenzeller and Gabriel Kronberger and Michael Kommenda and Bogdan Burlacu and Stefan Wagner. Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 91-107, Ann Arbor, USA, 2014. Springer. details

  44. Stephan M. Winkler and Michael Affenzeller and Susanne Schaller and Herbert Stekel. Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1337-1344, Vancouver, BC, Canada, 2014. ACM. details

  45. Michael Kommenda and Michael Affenzeller and Bogdan Burlacu and Gabriel Kronberger and Stephan M. Winkler. Genetic programming with data migration for symbolic regression. In Steven Gustafson and Ekaterina Vladislavleva editors, GECCO 2014 Workshop on Symbolic Regression and Modelling, pages 1361-1366, Vancouver, BC, Canada, 2014. ACM. details

  46. Gerd Bramerdorfer and Wolfgang Amrhein and Stephan M. Winkler and Michael Affenzeller. Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios. In 40th Annual Conference of the IEEE Industrial Electronics Society, IECON 2014, pages 628-633, 2014. details

  47. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda. On the Evolutionary Behavior of Genetic Programming with Constants Optimization. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2013, volume 8111, pages 284-291, Las Palmas de Gran Canaria, Spain, 2013. Springer. 14th International Conference, Revised Selected Papers. details

  48. Stephan M. Winkler and Michael Affenzeller and Herbert Stekel. Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1463-1470, Amsterdam, The Netherlands, 2013. ACM. details

  49. Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner. Effects of constant optimization by nonlinear least squares minimization in symbolic regression. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1121-1128, Amsterdam, The Netherlands, 2013. ACM. details

  50. Stephan Hutterer and Stefan Vonolfen and Michael Affenzeller. Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1529-1536, Amsterdam, The Netherlands, 2013. ACM. details

  51. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Stephan Winkler and Gabriel Kronberger. Visualization of genetic lineages and inheritance information in genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1351-1358, Amsterdam, The Netherlands, 2013. ACM. details

  52. Michael Affenzeller and Stephan M. Winkler and Herbert Stekel and Stefan Forstenlechner and Stefan Wagner. Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory - EUROCAST 2013, volume 8111, pages 316-323, Las Palmas de Gran Canaria, Spain, 2013. Springer. Revised Selected Papers, Part I. details

  53. Michael Kommenda and Michael Affenzeller and Gabriel K. Kronberger and Stephan M. Winkler. Nonlinear Least Squares Optimization of Constants in Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2013, volume 8111, pages 420-427, Las Palmas de Gran Canaria, Spain, 2013. Springer. details

  54. Andreas Beham and Erik Pitzer and Michael Affenzeller. Fitness Landscape based Parameter Estimation for Robust Taboo Search. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, Eurocast 2013, volume 8111, pages 292-299, Las Palmas, Spain, 2013. Springer. details

  55. S. Hutterer and M. Affenzeller and F. Auinger. Evolutionary Computation Enabled Controlled Charging for E-Mobility Aggregators. In Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, Singapur, Singapore, 2013. details

  56. S. Wagner and G. Kronberger and A. Beham and M. Kommenda and A. Scheibenpflug and E. Pitzer and S. Vonolfen and M. Kofler and S. Winkler and V. Dorfer and M. Affenzeller. Architecture and Design of the HeuristicLab Optimization Environment. In Robin Braun and Zenon Chaczko and Franz Pichler editors, First Australian Conference on the Applications of Systems Engineering, ACASE, volume 6, pages 197-261, Sydney, Australia, 2012. Springer International Publishing. Selected and updated papers. details

  57. Gabriel Kronberger and Stefan Wagner and Michael Kommenda and Andreas Beham and Andreas Scheibenpflug and Michael Affenzeller. Knowledge Discovery through Symbolic Regression with HeuristicLab. In Bettina Berendt and Myra Spiliopoulou editors, Conference booklet ECML-PKDD 2012, volume 7524, pages 824-827, Bristol UK, 2012. Springer. Demo Spotlights. details

  58. Michael Kommenda and Gabriel Kronberger and Stefan Wagner and Stephan Winkler and Michael Affenzeller. On the architecture and implementation of tree-based genetic programming in HeuristicLab. In Stefan Wagner and Michael Affenzeller editors, GECCO 2012 Evolutionary Computation Software Systems (EvoSoft), pages 101-108, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  59. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Stephan M. Winkler and Gabriel Kronberger. Evolution Tracking in Genetic Programming. In Emilio Jimenez and Boris Sokolov editors, The 24th European Modeling and Simulation Symposium, EMSS 2012, Vienna, Austria, 2012. details

  60. Michael Affenzeller and Stephan M. Winkler and Stefan Forstenlechner and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Herbert Stekel. Enhanced Confidence Interpretations of GP Based Ensemble Modeling Results. In Emilio Jimenez and Boris Sokolov editors, The 24th European Modeling and Simulation Symposium, EMSS 2012, pages 340-345, Vienna, Austria, 2012. details

  61. S. M. Winkler and M. Affenzeller and H. Stekel. Analysis of the Relevance of Blood Parameters and Virtual Tumor Markers in Tumor Diagnosis Prediction. In Proceedings of IEEE APCAST'12 Conference, Sydney, Australia, 2012. details

  62. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. Variable Interaction Networks in Medical Data. In Proceedings of the 24th European Modeling and Simulation Symposium EMSS 2012, pages 265-270, Vienna, Austria, 2012. details

  63. Andreas Scheibenpflug and Stefan Wagner and Gabriel K. Kronberger and Michael Affenzeller. HeuristicLab Hive - An Open Source Environment for Parallel and Distributed Execution of Heuristic Optimization Algorithms. In Robin Braun and Zenon Chaczko editors, 1st Australian Conference on the Applications of Systems Engineering ACASE'12, pages 63-65, Sydney, Australia, 2012. details

  64. Christoph Neumueller and Andreas Scheibenpflug and Stefan Wagner and Andreas Beham and Michael Affenzeller. Large Scale Parameter Meta-Optimization of Metaheuristic Optimization Algorithms with HeuristicLab Hive. In Jose Antonio Gamez Martin and Jose Miguel Puerta Callejon editors, Proceedings of the 8th spanish congress on Metaheuristics, Evolutionary and Bioinspired Algorithms (MAEB'2012), Albacete, Spain, 2012. details

  65. Stephan M. Winkler and Michael Affenzeller and Gabriel K. Kronberger and Michael Kommenda and Stefan Wagner and Witold Jacak and Herbert Stekel. Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 335-342, 2012. Springer. details

  66. Alexandru-Ciprian Zavoianu and Gabriel Kronberger and Michael Kommenda and Daniela Zaharie and Michael Affenzeller. Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 264-271, Las Palmas de Gran Canaria, Spain, 2011. Springer. details

  67. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 195-196, Dublin, Ireland, 2011. ACM. details

  68. Stephan M. Winkler and Michael Affenzeller and Witold Jacak and Herbert Stekel. Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. In Stephen L. Smith and Stefano Cagnoni and Robert Patton editors, GECCO 2011 Medical applications of genetic and evolutionary computation (MedGEC), pages 503-510, Dublin, Ireland, 2011. ACM. details

  69. Erik Pitzer and Andreas Beham and Michael Affenzeller and Helga Heiss and Markus Vorderwinkler. Production fine planning using a solution archive of priority rules. In 3rd IEEE International Symposium on Logistics and Industrial Informatics (LINDI 2011), pages 111-116, Budapest, 2011. details

  70. Gabriel Kronberger and Stefan Fink and Michael Kommenda and Michael Affenzeller. Macro-economic Time Series Modeling and Interaction Networks. In Cecilia Di Chio and Anthony Brabazon and Gianni Di Caro and Rolf Drechsler and Marc Ebner and Muddassar Farooq and Joern Grahl and Gary Greenfield and Christian Prins and Juan Romero and Giovanni Squillero and Ernesto Tarantino and Andrea G. B. Tettamanzi and Neil Urquhart and A. Sima Uyar editors, Applications of Evolutionary Computing, EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, EvoTRANSLOG, volume 6625, pages 101-110, Turin, Italy, 2011. Springer Verlag. details

  71. Gabriel Kronberger and Michael Kommenda and Michael Affenzeller. Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. In Steven Gustafson and Ekaterina Vladislavleva editors, 3rd symbolic regression and modeling workshop for GECCO 2011, pages 631-638, Dublin, Ireland, 2011. ACM. details

  72. Michael Kommenda and Gabriel Kronberger and Christoph Feilmayr and Michael Affenzeller. Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset. In Cecilia Di Chio and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I Esparcia-Alcazar and Juan J. Merelo and Ferrante Neri and Mike Preuss and Hendrik Richter and Julian Togelius and Georgios N. Yannakakis editors, Applications of Evolutionary Computing, EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, EvoSTOC, volume 6624, pages 274-283, Turin, Italy, 2011. Springer Verlag. details

  73. Christoph Neumueller and Stefan Wagner and Gabriel K. Kronberger and Michael Affenzeller. Parameter Meta-optimization of Metaheuristic Optimization Algorithms. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 367-374, Las Palmas de Gran Canaria, Spain, 2011. Revised Selected Papers, Part I. details

  74. M. Affenzeller and C. Fischer and G. K. Kronberger and S. M. Winkler and S. Wagner. New Genetic Programming Hypothesis Search Strategies for Improving the Interpretability in Medical Data Mining Applications. In Proccedings of 23rd IEEE European Modeling \& Simulation Symposium EMSS 2011, Roma, Italy, 2011. details

  75. Stephan M. Winkler and Michael Affenzeller and Gabriel K. Kronberger and Michael Kommenda and Stefan Wagner and Witold Jacak and Herbert Stekel. Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Proceedings of International Conference on Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 335-342, Las Palmas, Spain, 2011. Springer. details

  76. Stephan M. Winkler and Michael Affenzeller and Witold Jacak and Herbert Stekel. Classification of tumor marker values using heuristic data mining methods. In Stephen L Smith and Stefano Cagnoni and Robert Patton editors, GECCO 2010 Medical applications of genetic and evolutionary computation (MedGEC), pages 1915-1922, Portland, Oregon, USA, 2010. ACM. details

  77. Gabriel K. Kronberger and Stephan M. Winkler and Michael Affenzeller and Michael Kommenda and Stefan Wagner. Effects of Mutation before and after offspring selection in genetic programming for symbolic regression. In Agostino Bruzzone and Claudia Frydman editors, 22nd European Modeling \& Simulation Symposium (Simulation in Industry), EMSS 2010, Fes, Morocco, 2010. details

  78. Gabriel Kronberger and Stephan M. Winkler and Michael Affenzeller and Andreas Beham and Stefan Wagner. On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. In 12th International Conference on Computer Aided Systems Theory, EUROCAST 2009, volume 5717, pages 793-800, Las Palmas de Gran Canaria, Spain, 2009. Springer. Revised Selected Papers. details

  79. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Fine grained population diversity analysis for parallel genetic programming. In IEEE International Symposium on Parallel Distributed Processing, IPDPS 2009, pages 1-8, Rome, 2009. details

  80. Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner. On Crossover Success Rate in Genetic Programming with Offspring Selection. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 232-243, Tuebingen, 2009. Springer. details

  81. Gabriel Kronberger and Christoph Feilmayr and Michael Kommenda and Stephan Winkler and Michael Affenzeller and Thomas Burgler. System Identification of Blast Furnace Processes with Genetic Programming. In 2nd International Symposium on Logistics and Industrial Informatics, LINDI 2009, pages 1-6, Linz, Austria, 2009. details

  82. Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner and Leonhard Schickmair and Benjamin Lindner. Application of Genetic Programming on Temper Mill Datasets. In 2nd International Conference on Logistics and Industrial Informatics, LINDI 2009, pages 1-5, 2009. details

  83. Monika Kofler and Andreas Beham and Stefan Wagner and Michael Affenzeller. Evaluation of Dispatching Strategies for the Optimization of a Real-World Production Plant. In 2nd Symposium on International Logistics and Industrial Informatics, LINDI 2009, pages 1-6, 2009. details

  84. Stephan M. Winkler and Markus Hirsch and Michael Affenzeller and Luigi del Re and Stefan Wagner. Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Proceedings of International Conference Computer Aided Systems Theory, EUROCAST 2009, volume 5717, pages 657-664, Las Palmas, Spain, 2009. Springer. details

  85. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Fine-grained population diversity estimation for genetic programming based structure identification. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1435-1436, Atlanta, GA, USA, 2008. ACM. details

  86. Andreas Beham and Stephan Winkler and Stefan Wagner and Michael Affenzeller. A genetic programming approach to solve scheduling problems with parallel simulation. In IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, pages 1-5, 2008. details

  87. Stephan Winkler and Michael Affenzeller and Stefan Wagner. Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. In Computer Aided Systems Theory - EUROCAST 2007, 2007. Springer. details

  88. S. M. Winkler and M. Affenzeller and S. Wagner. Advances in applying genetic programming to machine learning, focussing on classification problems. In 20th International Parallel and Distributed Processing Symposium, IPDPS 2006, page 8 pp.?, Rhodes Island, 2006. IEEE. details

  89. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Using Enhanced Genetic Programming Techniques for Evolving Classifiers in the Context of Medical Diagnosis - An Empirical Study. In Stephen L Smith and Stefano Cagnoni and Jano van Hemert editors, MedGEC 2006 GECCO Workshop on Medical Applications of Genetic and Evolutionary Computation, Seattle, WA, USA, 2006. details

  90. Luigi Del Re and Peter Langthaler and Christian Furtmueller and Stephan Winkler and Michael Affenzeller. NOx Virtual Sensor Based on Structure Identification and Global Optimization. In SAE 2005 World Congress \& Exhibition, page Paper Number: 2005, Detroit, Michigan, United States, 2005. details

  91. M. Affenzeller and S. Wagner. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms. In Bernardete Ribeiro and Rudolf F. Albrecht and Andrej Dobnikar and David W. Pearson and Nigel C. Steele editors, Proceedings of the seventh International Conference Adaptive and Natural Computing Algorithms, pages 218-221, Coimbra, Portugal, 2005. Springer. details

Genetic Programming book chapters by Michael Affenzeller

  1. Michael Kommenda and Michael Affenzeller and Gabriel Kronberger and Bogdan Burlacu and Stephan M. Winkler. Multi-Population Genetic Programming with Data Migration for Symbolic Regression. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 75-87. Springer, 2015. details

  2. Bogdan Burlacu and Michael Affenzeller and Stephan M. Winkler and Michael Kommenda and Gabriel Kronberger. Methods for Genealogy and Building Block Analysis in Genetic Programming. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 61-74. Springer, 2015. details

  3. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. On the Identification of Virtual Tumor Markers and Tumor Diagnosis Predictors Using Evolutionary Algorithms. In R. Klempous and J. Nikodem and W. Jacak and Z. Chaczko editors, Advanced Methods and Applications in Computational Intelligence, pages 95-122. Springer, 2014. details

  4. Michael Affenzeller and Stephan M. Winkler and Gabriel Kronberger and Michael Kommenda and Bogdan Burlacu and Stefan Wagner. Gaining Deeper Insights in Symbolic Regression. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 10, pages 175-190. Springer, Ann Arbor, USA, 2013. details

  5. Gabriel K. Kronberger and Michael Affenzeller and Stefan Fink. Genetic programming: Current trends and applications in computational finance. In Nikolaos S. Thomaidis and Gordon H. Dash editors, Recent advances in computational finance, chapter 6, pages 99-115. Nova Science Publishers, Inc., 2013. details

  6. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner and Gabriel K. Kronberger and Michael Kommenda. Using Genetic Programming in Nonlinear Model Identification. In Daniel Alberer and Hakan Hjalmarsson and Luigi del Re editors, Workshop on Identification in Automotive 2010, volume 418 of Lecture Notes in Control and Information Sciences, chapter 6, pages 89-109. Springer, Linz, Austria, 2010. details

Genetic Programming technical reports by Michael Affenzeller

Genetic Programming other entries for Michael Affenzeller